⚡ AI Journey
Live Learning Path

AI Journey Interactive Map

Your real-time visual cosmos: track which concepts you've mastered, what you're actively reading, and where to venture next.

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Active Target

01 · Vectors
Resume Reading →
Overall Learning Mastery 0%
0
Topics Mastered
1
In Progress
9
Core Stages
35
Key Concepts
01 Tokens & Vectors 02 Attention 03 Transformers 04 Fine-Tuning 05 RAG & VectorDB 06 Agents & MCP 07 Optimization 08-09 RLHF & Frontier
01

Stage 01 · Foundations: Tokens & Vector Spaces

Discrete symbols converted to continuous high-dimensional geometric representations.

2 / 2 Topics ▼
02

Stage 02 · Attention Mechanisms

Query, Key, Value routing and contextual dynamic representation.

0 / 2 Topics ▼
05

Stage 05 · RAG & Vector Databases

External grounding, dense retrieval, re-ranking, and contextual injection.

0 / 3 Topics ▼
06

Stage 06 · Agents, Tools & Model Context Protocol (MCP)

Autonomous loops (ReAct, Planning), tool execution, and MCP standard servers.

0 / 3 Topics ▼
08

Stage 08 · CoT Reasoning & Reinforcement Learning (RLHF)

Extended thinking models (o1/DeepSeek R1), DPO, PPO, and Process Reward Models.

0 / 3 Topics ▼
09

Stage 09 · Frontier Architectures: MoE & Diffusion

Sparse Mixture of Experts (Mixtral/DeepSeek), Vision Transformers (ViT), and Diffusion.

0 / 4 Topics ▼